The MLOps Blog
JUNE 27, 2023
When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Flexibility, speed, and accessibility : can you customize the metadata structure? Can you see the complete model lineage with data/models/experiments used downstream?
AWS Machine Learning Blog
MARCH 1, 2023
Challenges In this section, we discuss challenges around various data sources, data drift caused by internal or external events, and solution reusability. For example, Amazon Forecast supports related time series data like weather, prices, economic indicators, or promotions to reflect internal and external related events.
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The MLOps Blog
MARCH 12, 2024
Model management Teams typically manage their models, including versioning and metadata. Monitoring Monitor model performance for data drift and model degradation, often using automated monitoring tools. Models are often externally hosted and accessed via APIs.
AWS Machine Learning Blog
SEPTEMBER 21, 2023
This workflow will be foundational to our unstructured data-based machine learning applications as it will enable us to minimize human labeling effort, deliver strong model performance quickly, and adapt to data drift.” – Jon Nelson, Senior Manager of Data Science and Machine Learning at United Airlines.
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